Connect WooCommerce to ChatGPT

Multi-Store Commerce Health Check

Using the Catchr MCP, pull WooCommerce data for [List of Client Stores] over [Period] and compare it with [Comparison Period]. For each store, report Shop Gross Sales, Shop Net Sales, Shop Total Orders, Shop Total Items Purchased, Shop Total Customers, Shop Total Refunds, and Shop Total Coupons Used; calculate average order value, items per order, refund rate, and net-to-gross sales rate. Label each store Healthy, Watch, or Critical against [Client Targets or Historical Baseline], explain the main driver of every Watch or Critical label, and rank the accounts that need the consultant's attention today.

Client Revenue and Acquisition Brief

Using the Catchr MCP, analyze WooCommerce performance for [Client Store Name/ID] over [Reporting Period] versus [Previous Period]. Summarize Shop Gross Sales, Shop Net Sales, Shop Total Orders, Shop Total Customers, and Shop Total Refunds, then break Order Total and order count down by Order Attribution Source Type, Order Attribution UTM Source, Order Attribution UTM Medium, and Order Attribution Device Type. Identify the channels and devices driving growth or decline, flag unattributed orders separately, and produce a client-ready brief with three wins, three risks, and one specific next action for each risk.

Cross-Client Stock and Bestseller Watchlist

Using the Catchr MCP, review WooCommerce catalog and sales data for [List of Client Stores]. Use Order Line Product Name, Order Line Product SKU, Order Line Product Quantity, and Order Line Total over [Sales Period], then join or compare them with Product Name, Product SKU, Product Stock Quantity, Product Stock Status, Product Backordered, and Product Total Sales as of [Snapshot Date]. Flag fast-selling products that are out of stock, on backorder, or below [Low-Stock Threshold], plus high-stock products with weak recent demand. Return a prioritized cross-client watchlist with store, product, evidence, estimated urgency, and the recommended replenishment or merchandising action.

Morning Client Store Priority Queue

Using the Catchr MCP, pull WooCommerce results for [List of Client Stores] for [Today or Recent Period] and compare them with [Baseline Period]. For each client, review Shop Net Sales, Shop Total Orders, Shop Total Customers, Shop Total Refunds, average order value calculated from net sales and orders, and counts of Order Status values such as pending, on-hold, cancelled, refunded, and failed. Apply [Client Targets or Alert Thresholds], rank the clients by urgency, and give me one concise line on what changed, why it matters, and the first action I should take for each account.

Monthly WooCommerce Client Report

Using the Catchr MCP, pull WooCommerce data for [Client Store Name/ID] for [Reporting Period] and [Previous Period]. Summarize Shop Gross Sales, Shop Net Sales, Shop Total Orders, Shop Total Items Purchased, Shop Total Customers, Shop Total Refunds, Shop Total Coupons Used, and Shop Total Shipping; calculate average order value, items per order, and refund rate. Add the leading products from Order Line Product Name, Order Line Product Quantity, and Order Line Total, plus the leading acquisition sources from Order Attribution UTM Source and UTM Medium. Write a plain-English client report covering results, causes, work to prioritize, and the three goals for [Next Period].

Store Optimization Backlog Builder

Using the Catchr MCP, diagnose WooCommerce performance for [Client Store Name/ID] over [Period]. Check Order Status, Order Payment Method Title, Order Attribution Device Type, Order Attribution Source Type, Order Attribution UTM Source, Order Total, Order Discount Total, Order Shipping Total, and Order Line Product Quantity against [Targets or Previous Period]. Identify the biggest leaks across failed or cancelled orders, device or source mix, discount dependence, shipping burden, and weak product demand. Create a freelancer-friendly backlog ranked by expected impact and effort, with one concrete task, supporting metric, owner, success threshold, and review date for every recommendation.

Daily Store Performance Pulse

Using the Catchr MCP, pull WooCommerce data for [Store Name/ID] for [Today or Recent Period] and compare it with [Baseline Period]. Report Shop Gross Sales, Shop Net Sales, Shop Total Orders, Shop Total Items Purchased, Shop Total Customers, Shop Total Refunds, Shop Total Shipping, and Shop Total Coupons Used; calculate average order value, items per order, refund rate, and shipping share of gross sales. Highlight the largest positive and negative changes, identify whether sales movement comes primarily from order volume or order value, and finish with the three actions the e-commerce team should take today.

Product Revenue and Inventory Optimizer

Using the Catchr MCP, analyze WooCommerce products for [Store Name/ID] over [Period]. Rank products using Order Line Product Name, Order Line Product SKU, Order Line Product Quantity, Order Line Subtotal, and Order Line Total; compare those results with Product Price, Product Regular Price, Product Sale Price, Product On Sale, Product Stock Quantity, Product Stock Status, Product Average Rating, and Product Rating Count. Classify products as protect, promote, replenish, reprice, or review, explain each classification with data, and propose a prioritized merchandising plan with an owner, action, and success metric for the top [Number] opportunities.

Customer Retention and Refund Leak Finder

Using the Catchr MCP, analyze WooCommerce orders and customers for [Store Name/ID] over [Period]. Use Order Customer Id, Billing Email, Order Date Created, Order Status, Order Total, Order Discount Total, Order Payment Method Title, Shop Total Refunds, Refund Date Created, and Refund Reason. Separate guest customers from identified customers, calculate orders and revenue per identified customer, classify first-time versus repeat purchasers using [Repeat Purchase Definition], and identify customer segments, payment methods, order statuses, or refund reasons associated with lost revenue. Return the three highest-impact retention or checkout fixes, with supporting evidence and a measurable test for each.

Order Data Integrity Audit

Using the Catchr MCP, audit WooCommerce order data for [Store Name/ID or All Connected Stores] over [Period]. Check completeness and consistency for Order Id, Order Number, Order Date Created, Order Status, Order Currency, Order Customer Id, Order Total, Order Transaction Id, Order Line Id, Order Line Product Id, Order Line Product Quantity, and Order Line Total. Flag missing identifiers or dates, duplicate Order Id or Order Line Id values, negative quantities or totals, missing transaction IDs on paid or completed orders, orders whose line totals do not reconcile to Order Total within [Tolerance], and invalid status-date combinations. Return an exception table with store, record ID, failed rule, observed values, severity, and recommended validation step.

Commerce Metric Reconciliation

Using the Catchr MCP, reconcile WooCommerce aggregate and order-level metrics for [Store Name/ID or All Connected Stores] over [Period]. Compare Shop Gross Sales, Shop Net Sales, Shop Total Orders, Shop Total Items Purchased, Shop Total Refunds, Shop Total Shipping, and Shop Total Tax with independently aggregated Order Total, Order Line Product Quantity, Order Line Total, Order Shipping Total, Order Total Tax, and Refund Amount where available. Apply [Absolute and Percentage Tolerances], separate expected definition differences from unexplained gaps, and deliver a reconciliation table with source totals, variance, likely cause, severity, and the next investigation query.

Attribution Completeness and Outlier Monitor

Using the Catchr MCP, pull at least [Lookback Period, e.g., 90 days] of WooCommerce orders for [Store Name/ID or All Connected Stores], grouped by Order Date Created and store. Monitor Order Total, order count, average order value, refund rate, and the completion rate of Order Attribution Source Type, Order Attribution UTM Source, Order Attribution UTM Medium, Order Attribution Device Type, Order Customer Id, and Order Transaction Id. Compare each daily value with its trailing [Baseline Window] using [Outlier Method and Threshold], flag sudden metric or field-completeness changes, and classify each anomaly as likely tracking, extraction, order-processing, or genuine commercial change with the evidence, affected dates, and recommended validation action.

Replace [variables] Facts ≠ hypotheses Action + follow-up metric

Connect WooCommerce to ChatGPT

How to connect WooCommerce to ChatGPT

Authorize the WooCommerce account in Catchr

Install the Catchr app in ChatGPT

Choose, adapt, and run a prompt.

A simple client question should not trigger an hour of data prep.

Pull another CSV

Rebuild the context

Summarize it by hand

Ask the account. Get to the explanation.

Prepare data before every question.

Connect once. Keep asking.

See it in ChatGPT

Twelve WooCommerce prompts for analyzing real account data.

Multi-Store Commerce Health Check

Client Revenue and Acquisition Brief

Cross-Client Stock and Bestseller Watchlist

Multi-Store Commerce Health Check

WooCommerce to ChatGPT pricing

Starter

Growth

Scale

WooCommerce to ChatGPT: FAQ

What WooCommerce data can ChatGPT analyze through Catchr?

How granular can WooCommerce analysis be in ChatGPT?

Can ChatGPT identify product and operational risks in WooCommerce?

Can ChatGPT compare acquisition, customer, and revenue mix in WooCommerce?

What types of prompts work best for WooCommerce analysis?

Can I combine WooCommerce with other data sources in ChatGPT?

Can I analyze multiple stores, shops, or marketplaces together?

What do I need to connect WooCommerce to ChatGPT with Catchr?

How recent is the WooCommerce data, and how much history can I analyze?

Can ChatGPT change anything in WooCommerce through Catchr?

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